2000
DOI: 10.1016/s0893-9659(00)00048-3
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Sensitivity analysis for strongly nonlinear quasi-variational inclusions

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Cited by 73 publications
(34 citation statements)
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“…Also, (14) implies that {y n } is a Cauchy sequence in H. Hence, there exist x, y ∈ H such that x n → x and y n → y . Since g, A, S, B, T, J ρ M and J γ N are continuous, then it follows from Algorithm 1 that x, y ∈ H satisfy (3), (4) and thus by Lemma 2, it follows that x, y ∈ H is a solution of system of generalized variational inclusions (1). This completes the proof.…”
Section: E5mentioning
confidence: 56%
See 1 more Smart Citation
“…Also, (14) implies that {y n } is a Cauchy sequence in H. Hence, there exist x, y ∈ H such that x n → x and y n → y . Since g, A, S, B, T, J ρ M and J γ N are continuous, then it follows from Algorithm 1 that x, y ∈ H satisfy (3), (4) and thus by Lemma 2, it follows that x, y ∈ H is a solution of system of generalized variational inclusions (1). This completes the proof.…”
Section: E5mentioning
confidence: 56%
“…Because of applications in mechanics, physics, optimization and control, nonlinear programming, economics and engineering sciences, various variational inclusions have been intensively studied in recent years by Agarwal [1,2], Ahmad et al [5], Ding et al [7] and Lee et al [8]. Ansari and Yao [4] studied a system of variational inequalities using a fixed point theorem.…”
Section: Introductionmentioning
confidence: 99%
“…As in the proof of (4.10), we have (2) if n = α n ∆ n + γ n with ∞ n=0 γ n < +∞ and lim n→∞ ∆ n = 0, then lim n→∞ y n = u * , (3) lim n→∞ y n = u * implies that lim n→∞ n = 0.…”
Section: (416) 272 Generalized Implicit Quasivariational Inclusionsmentioning
confidence: 70%
“…A useful and important generalization of variational inequalities is a variational inclusion. Using the resolvent operator technique, many authors have studied various variational inequalities and inclusions with applications (see [1,2,5,6,8,9,10,11,12,13,14,16,18,19,20,21] and the references therein).…”
Section: Introductionmentioning
confidence: 99%
“…By using the implicit function approach that makes use of so-called normal mappings, Robinson [35] studied the sensitivity analysis of solutions for variational inequalities in finite-dimensional spaces. By using proximal-point mappings technique, Adly [1], Noor [35] and Agarwal et al [2] studied the sensitivity analysis of solution set of some classes of quasi-variational inclusions involving single-valued mappings. By using projection and proximal-point mappings techniques, Ding and Luo [15], Liu et al [26], Park and Jeong [32], Ding [14], and Kazmi and Khan [23,24], studied the behavior and sensitivity analysis of solution set for some classes of generalized variational inequalities (inclusions) involving set-valued mappings.…”
Section: Introductionmentioning
confidence: 99%